Re: [Numpy-discussion] Linking against MKL but still slow?

Hi Christoph, On Mon, Mar 26, 2012 at 10:06 AM, Christoph Dann <ch.ro.dann@googlemail.com>wrote:

Dear list,

so far I used Enthoughts Python Distribution which contains a compiled version of numpy linked against MKL. Now, I want to implement my own extensions to numpy, so I need my build numpy on my own. So, I installed Intel Parallel studio including MKL and the C / Fortran compilers.

What do you mean by own extensions to NumPy ? If you mean building extensions against the C API of NumPy, then you don't need to build your own NumPy. Building NumPy with Intel Compilers and MKL is a non-trivial process, so I would rather avoid it. If you still want to build it by yourself, could you give us the full output of your build ? David